دانلود مقاله ISI انگلیسی شماره 39901
عنوان فارسی مقاله

مدل پویا برای یکپارچه سازی تکنیک های طبقه بندی اسپم وب ساده

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
39901 2015 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A dynamic model for integrating simple web spam classification techniques
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 42, Issue 21, 30 November 2015, Pages 7969–7978

کلمات کلیدی
وب اسپم - مدل دینامیکی - به عنوان مثال استدلال - روش گروه
پیش نمایش مقاله
پیش نمایش مقاله مدل پویا برای یکپارچه سازی تکنیک های طبقه بندی اسپم وب ساده

چکیده انگلیسی

Over the last years, Internet spam content has spread enormously inside web sites mainly due to the emergence of new web technologies oriented towards the online sharing of resources and information. In such a situation, both academia and industry have shown their concern to accurately detect and effectively control web spam, resulting in a good number of anti-spam techniques currently available. However, the successful integration of different algorithms for web spam classification is still a challenge. In this context, the present study introduces WSF2, a novel web spam filtering framework specifically designed to take advantage of multiple classification schemes and algorithms. In detail, our approach encodes the life cycle of a case-based reasoning system, being able to use appropriate knowledge and dynamically adjust different parameters to ensure continuous improvement in filtering precision with the passage of time. In order to correctly evaluate the effectiveness of the dynamic model, we designed a set of experiments involving a publicly available corpus, as well as different simple well-known classifiers and ensemble approaches. The results revealed that WSF2 performed well, being able to take advantage of each classifier and to achieve a better performance when compared to other alternatives. WSF2 is an open-source project licensed under the terms of the LGPL publicly available at https://sourceforge.net/projects/wsf2c/.

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